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Fuzzy algorithm for madical image processing

Śrutek M., Śrutek E.

Image Processing & Communications

2006

Vol. 11, no 1

115-122

Fuzzy rules were used to enhance images in the pre-processing step. The contrast enhancement and filtration methods are proposed to eliminate noise and artifacts from images. Implementation of fuzzy rules resulted in considerable image quality improvement. Next, the segmentation of regions corresponding to abnormalities is performed and geometrical and statistical parameters of the detected structures are calculated. Final classification algorithm is based on fuzzy rules.

Top points method for microcalcifications detection in mammography images

Śrutek M.

Image Processing & Communications

2005

Vol. 10, no 2

131-142

Novel method of microcalcifications detection in mammography images is proposed in the paper. The core of the method is the top points localization algorithm, in which the brightest points within the 4-element neighbourhood are detected iteratively. For points detected in such manner, the rules based on the mean and median values of the points neighbourhood are created. Moreover, the histogram's parameters are taken into account in order to choose top points that correspond to microcalficications. Next the region growing of the top points' area is performed. All the neighbouring points that fulfil conditions regarding the illumination level difference and mean illuminance of the extracted region, are also added to the microcalficication region. For microcalcifications extracted accordingly with the proposed algorithm the values of geometrical and statistical parameters can be computed.